AF: Model-Based Estimation of Confounder-Adjusted Attributable Fractions

Estimates the attributable fraction in different sampling designs adjusted for measured confounders using logistic regression (cross-sectional and case-control designs), conditional logistic regression (matched case-control design), Cox proportional hazard regression (cohort design with time-to- event outcome), gamma-frailty model with a Weibull baseline hazard and instrumental variables analysis. An exploration of the AF with a genetic exposure can be found in the package 'AFheritability' Dahlqwist E et al. (2019) <doi:10.1007/s00439-019-02006-8>.

Version:	0.1.5
Depends:	stats, base, graphics, survival, drgee, stdReg, R (≥ 3.5.0), data.table, ivtools
Published:	2019-05-20
DOI:	10.32614/CRAN.package.AF
Author:	Elisabeth Dahlqwist and Arvid Sjolander
Maintainer:	Elisabeth Dahlqwist <elisabeth.dahlqwist88 at gmail.com>
License:	GPL-2 | GPL-3
NeedsCompilation:	no
CRAN checks:	AF results

Documentation:

Reference manual:

AF.pdf

Downloads:

Package source:	AF_0.1.5.tar.gz
Windows binaries:	r-devel: AF_0.1.5.zip, r-release: AF_0.1.5.zip, r-oldrel: AF_0.1.5.zip
macOS binaries:	r-release (arm64): AF_0.1.5.tgz, r-oldrel (arm64): AF_0.1.5.tgz, r-release (x86_64): AF_0.1.5.tgz, r-oldrel (x86_64): AF_0.1.5.tgz
Old sources:	AF archive

Reverse dependencies:

Reverse suggests:

stdReg2

Linking:

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